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    METHOD AND DEVICE WITH ENSEMBLE MODEL FOR DATA LABELING
    2.
    发明公开
    METHOD AND DEVICE WITH ENSEMBLE MODEL FOR DATA LABELING 审中-公开

    公开(公告)号：US20240143976A1

    公开(公告)日：2024-05-02

    申请号：US18193781

    申请日：2023-03-31

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Huijin LEE ,  Wissam BADDAR ,  Saehyun AHN ,  Seungju HAN

    IPC: G06N3/045

    CPC classification number: G06N3/045

    Abstract: A method and device for labeling are provided. A labeling method includes: determining inference performance features of respective neural network models included in an ensemble model, wherein the inference performance features correspond to performance of the neural network models with respect to inferring classes of the ensemble model; based on the inference performance features, determining weights for each of the classes for each of the neural network models, wherein the weights are not weights of nodes of the neural network models; generating classification result data by performing a classification inference operation on labeling target inputs by the neural network models; determining score data representing confidences for each of the classes for the labeling target inputs by applying weights of the weight data to the classification result data; and measuring classification accuracy of the classification operation for the labeling target inputs based on the score data.

    SUBJECT RECOGNIZING METHOD AND APPARATUS
    3.
    发明申请
    SUBJECT RECOGNIZING METHOD AND APPARATUS 审中-公开

    公开(公告)号：US20200311488A1

    公开(公告)日：2020-10-01

    申请号：US16903702

    申请日：2020-06-17

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Huijin LEE ,  Minsu AHN ,  Sunghoon HONG

    IPC: G06K9/62 ,  G06K9/46 ,  G06T7/246 ,  G06K9/20 ,  G06K9/78 ,  G06K9/00

    Abstract: Disclosed is a subject recognizing apparatus and method. The method may include extracting feature points from a target image, respectively measuring movement information of each of a plurality of the extracted feature points, selectively grouping the extracted feature points into one or more groups based on the respectively measured movement information, determining a type of subject present in at least one group of the one or more groups based on at least a portion of the subject present in the at least one group, and recognizing a subject included in the target image based on the determined type of subject.

    ELECTRONIC DEVICE AND METHOD WITH MACHINE LEARNING TRAINING
    4.
    发明申请
    ELECTRONIC DEVICE AND METHOD WITH MACHINE LEARNING TRAINING 有权

    公开(公告)号：US20230134508A1

    公开(公告)日：2023-05-04

    申请号：US17978672

    申请日：2022-11-01

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Minsu KO ,  Sungjoo SUH ,  Huijin LEE ,  Eunju CHA

    IPC: G06V10/774 ,  G06V10/77 ,  G06T7/00 ,  G06V10/82

    Abstract: Training of a machine learning model is included. An electronic device includes a memory storing a machine learning model including a discriminator model, and a processor configured to extract, from a training image, a first image patch and a second image patch at least partially overlapping the first image patch, extract, from the first image patch, a first feature map based on a layer of the discriminator model, extract, from the second image patch, a second feature map based on the layer, extract a first partial feature map from a projected map that is projected based on the first feature map, and train the discriminator model based on a first objective function value generated based on a second partial feature map and the first partial feature map, wherein the second partial feature map corresponds to a part of the extracted second feature map.

    METHOD AND APPARATUS FOR PREPROCESSING FINGERPRINT IMAGE
    5.
    发明申请
    METHOD AND APPARATUS FOR PREPROCESSING FINGERPRINT IMAGE 审中-公开

    公开(公告)号：US20200184171A1

    公开(公告)日：2020-06-11

    申请号：US16671629

    申请日：2019-11-01

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Huijin LEE ,  Jingu Heo

    IPC: G06K9/00 ,  G06K9/62 ,  G06K9/48

    Abstract: Provided in a fingerprint image preprocessing method including receiving an input fingerprint image, performing a short-time Fourier transform (STFT) on the input fingerprint image to obtain a transformed fingerprint image, comparing the input fingerprint image and the transformed fingerprint image, and generating a combined image by combining the input fingerprint image and the transformed fingerprint image based on a result of the comparing.

    COMBINED FINGERPRINT RECOGNITION TOUCH SENSOR, ELECTRONIC APPARATUS INCLUDING THE SAME, AND FINGERPRINT ENROLLMENT METHOD
    7.
    发明申请
    COMBINED FINGERPRINT RECOGNITION TOUCH SENSOR, ELECTRONIC APPARATUS INCLUDING THE SAME, AND FINGERPRINT ENROLLMENT METHOD 有权

    公开(公告)号：US20210165987A1

    公开(公告)日：2021-06-03

    申请号：US16922185

    申请日：2020-07-07

    Applicant: SAMSUNG ELECTRONICS CO., LTD.

    Inventor： Jinmyoung KIM ,  Huijin LEE ,  Minchul YU

    IPC: G06K9/00 ,  G06F3/044 ,  G06F3/041

    Abstract: Provided are a combined fingerprint recognition touch sensor, an electronic apparatus including the same, and a fingerprint enrollment method to which the same is applied. The combined fingerprint recognition touch sensor includes parallel transmission lines extending in a touch sensing region, and a plurality of parallel reception lines extending in the touch sensing region to intersect the transmission lines. A signal transmitter includes a plurality of transmission groups so as to apply driving signals to the transmission lines. A storage is configured to store an enrolled fingerprint image to be compared with an enrolled fingerprint for fingerprint authentication. In the fingerprint enrollment mode, a fingerprint image of a finger is obtained through one touch operation by applying driving signals to transmission lines belonging to two or more transmission groups and reading a fingerprint image of a sensing zone including an initial touch region and a surrounding region.

    METHOD AND APPARATUS WITH RECOGNITION MODEL TRAINING
    10.
    发明公开
    METHOD AND APPARATUS WITH RECOGNITION MODEL TRAINING 审中-公开

    公开(公告)号：US20230143874A1

    公开(公告)日：2023-05-11

    申请号：US17978425

    申请日：2022-11-01

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Huijin LEE ,  Wissam BADDAR ,  Minsu KO ,  Sungjoo SUH

    IPC: G06V10/774 ,  G06V10/77 ,  G06V10/82

    CPC classification number: G06V10/774 ,  G06V10/7715 ,  G06V10/82

    Abstract: A processor-implemented method includes: generating a first sample image and a second sample image by performing data augmentation on an input training image; generating a first feature map of the first sample image and a second feature map of the second sample image by performing feature extraction on the first sample image and the second sample image using an encoding model; determining first loss data according to a relationship between first feature vectors of the first feature map and second feature vectors of the second feature map; estimating relative geometric information of the first feature map and the second feature map using a relationship estimation model; determining second loss data according to the relative geometric information, based on label data according to a geometric arrangement of the first sample image and the second sample image in the input training image; and training the encoding model and the relationship estimation model, based on the first loss data and the second loss data.

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